Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 55.356 € gross/year
- Location
- Graz, Innsbruck, Vienna
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will design robust AI platforms, develop MLOps workflows, and optimize GPU infrastructures to create, deploy, and monitor effective AI models while ensuring security and compliance throughout the lifecycle.
Job Technologies
Your role in the team
- We are looking for a Platform AI Engineer who will design, build, and scale our AI platform capabilities, enabling seamless model development, deployment, monitoring, and lifecycle management across the organization.
- You will bring together engineering excellence, MLOps best practices, and a product mindset to turn AI into a reliable, secure, and operational capability.
- Design and operate scalable AI/ML platforms, including training, inference, pipelines, and feature stores.
- Automate MLOps workflows (deployment, orchestration, CI/CD, monitoring, observability).
- Optimize GPU/accelerated environments for high-performance model workloads.
- Build reusable services, APIs, and tooling to boost engineering and data science productivity.
- Ensure security, compliance, governance, and Responsible AI across the full model lifecycle.
- Evaluate and adopt emerging AI technologies to continuously improve the platform.
- Collaborate with cross-functional teams to deliver reliable, scalable AI products.
- Improve cost efficiency and performance of training, experimentation, and inference.
- Perform LLM evaluation to ensure quality and reliability.
- Design strong prompts, guardrails, and safety filters for secure LLM operation.
- Develop and maintain RAG capabilities for enterprise knowledge access.
- Build AI agents augmented with tools and internal system integrations.
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Our expectations of you
Qualifications
- Hands-on expertise with AI/ML tooling and orchestration (e.g., Databricks, Azure ML, MLflow, VertexAI, Kubeflow, Airflow).
- Deep knowledge of cloud native architectures (Azure / AWS / GCP), including containerisation (Docker, Kubernetes) and Infrastructure-as-Code.
- Familiarity with monitoring and managing production models (drift detection, lineage, model registry, A/B testing).
- Solid understanding of data architecture + integration with data platforms.
- Strong communication skills, able to partner with cross-functional teams and translate platform needs into technical solutions.
- Fluency in English (additional regional languages a plus).
Experience
- 5+ years of experience in Machine Learning Engineering, AI Platform Engineering, or MLOps.
- Strong software engineering background in Python (and ideally Java/Go); experience building reliable services/APIs.
- Experience with GPU/accelerated infrastructure, model optimization, and high-performance workloads.
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What we offer
- The minimum salary is 55,356 euros/year in the collective agreement.
- Adequate to your skills, we are willing to pay much more.
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Benefits
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Cloudflight GmbH
Wien, Linz, Hagenberg Im Mühlkreis
Our team of creative experts works hand-in-hand with our clients to develop tailor-made solutions, products, and platforms. We have over 400 digital strategists, experienced software architects, leading data scientists, and cloud engineers worldwide who collaborate closely to achieve the best results.
Description
- Company Size
- 250+ Employees
- Founding Year
- 2005
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.8
Workingconditions
4.2Culture
3.7Engineering
3.7Career Growth
3.8
AI Engineer - Agentic Platform
- Salary
- from 55.356 € gross/yearEstimated net salary based on the gross salary in the job ad.from 38.628 € net/year
- Location
- Graz, Innsbruck, Vienna
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
